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Adobe AD0-E207 Exam
Adobe Analytics Architect Master (Page 4 )

Updated On: 1-Feb-2026
Page 2 of 11
PDF with 50 Questions

While auditing the Adobe Analytics implementation, an Architect finds that the hourly unique visitor report is 3 hours behind.
What is causing this issue?

  1. Increased unique variable values
  2. Increased number of users running repots
  3. New variables enabled for report suite
  4. An unexpected traffic spike

Answer(s): D

Explanation:

Overview of the Issue: The hourly unique visitor report being 3 hours behind indicates a delay in data processing within Adobe Analytics .
Potential Causes: The delay could be due to several factors such as increased data volume, server performance issues, or unexpected traffic spikes .

Increased unique variable values: This could slow down processing, but it typically affects data collection rather than causing such a significant delay. Increased number of users running reports: This might slow down the user interface and report generation, but not data processing itself.
New variables enabled for report suite: This usually affects the data collection stage and can cause delays but would not typically result in a consistent 3-hour lag.

An unexpected traffic spike: A sudden increase in traffic can overload data processing servers, causing delays in reporting as the system tries to catch up with the increased data volume. Verification: According to Adobe's documentation, data processing delays are often caused by unexpected traffic spikes that increase the volume of data beyond typical processing capacity (Adobe Analytics Documentation).



A Solution Design Reference (SDR) is built for architectsite.com. The site has the following business requirements:
· Report on newsletter sign-up attempts (event1) by URL · View the user journey through the site by page name
· Track which site section successful newsletter sign-ups (event2) occur Which query string parameters must be seen in the network request to meet the requirements?

  1. events=event1,event2 vl =architectsite.com pageName=homepage site=home
  2. events=eventl ,event2 vl =architectsite.com pageName=homepage cc=home
  3. events=event1 .event2 vl =architectsite.com pn=homepage ch=home
  4. events-event! ,event2 vl =architectsite.com pageName=homepage ch=home

Answer(s): D

Explanation:

To meet the specified business requirements, the query string parameters in the network request must include:
events=event1,event2: This captures both newsletter sign-up attempts (event1) and successful sign- ups (event2).
vl=architectsite.com: This identifies the URL.
pageName=homepage: This tracks the user journey through the site by page name. ch=home: This captures the site section where the successful newsletter sign-ups occur. The combination of these parameters ensures that all the required data points are collected and reported accurately.


Reference:

Adobe Analytics Implementation Guide



In reviewing data from a Data Feeds request, an Architect sees that on the same hit, eVar1 has no value but post_eVarl has the value: PDP:summer:sunglasses Why are these values different?

  1. eVar1 has classifications associated with it that parse out values based on the ':" delimiter.
  2. The values in eVar1 are set by processing rules or Vista Rules .
  3. eVar1 was set through the data insertion API.
  4. Due to the size of the payload. this server call was sent through the POST method.

Answer(s): B

Explanation:

The difference between eVar1 and post_eVar1 values indicates that processing rules or Vista Rules are being applied. Processing rules or Vista Rules can modify the values of variables after the initial data collection. In this case, eVar1 initially has no value, but post_eVar1 shows the modified value "PDP:summer
" after the application of these rules .


Reference:

Adobe Analytics Processing Rules Guide



An Architect is unable to analyze all internal search terms for the previous month because 15% of the internal search terms fall into "(low traffic)".
Which two extraction methods will show all search terms? (Choose two.)

  1. Data Extract
  2. Report Builder
  3. Data Warehouse
  4. Data Feeds
  5. Reporting API

Answer(s): C,D

Explanation:

Business Requirement: Analyze all internal search terms, including those falling into the "(low traffic)" category.
Extraction Methods:
Data Warehouse: Provides comprehensive data extraction capabilities, allowing for the retrieval of detailed and granular data that might not be fully visible in standard reports . Data Feeds: Offers raw data extraction capabilities, enabling the capture of all search terms without the aggregation and sampling that can occur in standard reports .

Data Warehouse: Can export detailed data, bypassing the "(low traffic)" limitation by accessing the raw, unsampled data.
Data Feeds: Provides a way to extract raw data directly from Adobe Analytics, ensuring that all search terms, including those with low traffic, are included. Verification: According to Adobe Analytics documentation, using Data Warehouse and Data Feeds are recommended methods for extracting comprehensive datasets, including detailed search terms (Adobe Analytics Data Warehouse Guide, Data Feeds Documentation).



An Architect has defined the following tracking specifications:

· A userlD variable must be set in the data layer
· The userlD value must be mapped to eVar5
· The userlD value must be used as the Adobe visitor identification method. The tagging engineer confirms that Adobe Launch is configured as requested. An Analyst notices that the eVar5 report is not being populated. The Architect can see that the userlD data object is populated in the data layer after the page loads .
What is causing this problem?

  1. visitorlD is not available in the data layer when the Adobe Launch rule runs
  2. userlD is not being populated using dynamic variables .
  3. eVar5 is not being populated using dynamic variables .
  4. userlD is not available in the data layer when the Adobe Launch rule runs .

Answer(s): A

Explanation:

Business Requirement: Ensure userID is set in the data layer and mapped to eVar5, and used for visitor identification.
Issue Identification:
The userID data object must be available in the data layer before the Adobe Launch rule executes .

visitorID is not available in the data layer when the Adobe Launch rule runs: If the visitorID is not present in the data layer at the time the rule executes, the mapping to eVar5 will not occur, resulting in an empty eVar5 report.
Verification: According to Adobe Launch documentation, the timing of data layer availability is crucial for rule execution. Ensuring data is present before rules execute is necessary for accurate data capture (Adobe Launch Implementation Guide).



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